Xi Zhou

AdaDP-FedSec: adaptive differentially private federated learning with secure aggregation for multi-institutional English learner corpus collaborative training

AdaDP-FedSec is introduced, a federated learning framework that enables multiple institutions to jointly train corpus-based language models without exchanging raw data and emerges as the most impactful component, yielding 3–5% point improvements over uniform noise allocation at matched total privacy expenditure.